model_save / README.md
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End of training
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metadata
license: apache-2.0
base_model: CAMeL-Lab/bert-base-arabic-camelbert-ca
tags:
  - generated_from_keras_callback
model-index:
  - name: chosenone80/model_save
    results: []

chosenone80/model_save

This model is a fine-tuned version of CAMeL-Lab/bert-base-arabic-camelbert-ca on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 0.0906
  • Validation Loss: 0.1264
  • Train Precision: 0.9146
  • Train Recall: 0.9154
  • Train F1: 0.9150
  • Train Accuracy: 0.9657
  • Epoch: 2

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 48420, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
  • training_precision: float32

Training results

Train Loss Validation Loss Train Precision Train Recall Train F1 Train Accuracy Epoch
0.1373 0.1417 0.9105 0.9060 0.9083 0.9628 0
0.1023 0.1244 0.9116 0.9136 0.9126 0.9643 1
0.0906 0.1264 0.9146 0.9154 0.9150 0.9657 2

Framework versions

  • Transformers 4.35.2
  • TensorFlow 2.15.0
  • Datasets 2.16.1
  • Tokenizers 0.15.0